Transform enterprise data challenges as a versatile Data Engineer. Engage directly with clients while developing robust ETL pipelines and data infrastructures for effective analytics and reporting. This position involves 5+ years of experience in data engineering with a focus on designing reliable and scalable data solutions.

You will tackle high-volume data ingestion and pipeline management using cloud environments. Robust programming skills in SQL and Python are essential for success in this role. Key Responsibilities:

- Design and build scalable ETL/ELT pipelines on cloud platforms
- Develop and manage data warehouse solutions in Google BigQuery
- Implement data models and ensure optimal performance




- Collaborate with stakeholders to align technical solutions with business needs
- Monitor and optimize data infrastructure for high reliability Requirements:
- 5+ years of data engineering experience
- Strong SQL and Python programming skills
- Experience with cloud environments like GCP, AWS, or Azure
- Knowledge of ETL pipeline orchestration tools like Databricks
- Familiarity with database systems like MongoDB and Elasticsearch Shape impactful data solutions that bridge the gap between technical execution and strategic business objectives.

📌 Remote Data Engineer Focused on Scalable ETL and Client Solutions (Winnipeg)
🏢 ShyftLabs
📍 Winnipeg